Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes.

Abstract:

:Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used to correct relative gene expression values for biases. Here we outline a normalization method for use when the assumptions of lowess normalization fail. Specifically, this can occur when specialized boutique arrays are constructed that contain a subset of genes selected to test particular biological functions.

journal_name

Genome Biol

journal_title

Genome biology

authors

Oshlack A,Emslie D,Corcoran LM,Smyth GK

doi

10.1186/gb-2007-8-1-r2

subject

Has Abstract

pub_date

2007-01-01 00:00:00

pages

R2

issue

1

eissn

1474-7596

issn

1474-760X

pii

gb-2007-8-1-r2

journal_volume

8

pub_type

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